title: Exploring TCGA Pan-Cancer data at the UCSC Cancer Genomics Browser.
abstract: The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu) offers interactive visualization and exploration of TCGA genomic, phenotypic, and clinical data, as produced by the Cancer Genome Atlas Research Network. Researchers can explore the impact of genomic alterations on phenotypes by visualizing gene and protein expression, copy number, DNA methylation, somatic mutation and pathway inference data alongside clinical features, Pan-Cancer subtype classifications and genomic biomarkers. Integrated Kaplan-Meier survival analysis helps investigators to assess survival stratification by any of the information.
authors.affiliation: Center for Biomolecular Science and Engineering, University of California, Santa Cruz.
authors.forename: Melissa S
authors.initials: MS
authors.lastname: Cline
authors.forename: Brian
authors.initials: B
authors.lastname: Craft
authors.forename: Teresa
authors.initials: T
authors.lastname: Swatloski
authors.forename: Mary
authors.initials: M
authors.lastname: Goldman
authors.forename: Singer
authors.initials: S
authors.lastname: Ma
authors.forename: David
authors.initials: D
authors.lastname: Haussler
authors.forename: Jingchun
authors.initials: J
authors.lastname: Zhu
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D023281:Genomics / Q000379:methods*; D006801:Humans; D009369:Neoplasms / Q000235:genetics* / Q000378:metabolism; D064878:Web Browser